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Arizona Space Grant Consortium Statewide Symposium

Light Detection and Ranging (LiDAR) Survey of a Sky Island Forest. Jimmy Mack. Thanks to Tyson Swetnam, M.S. School of Natural Resources, University of Arizona Stephen Yool, Ph.D Department of Geography and Regional Development, University of Arizona. Arizona Space Grant Consortium

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Arizona Space Grant Consortium Statewide Symposium

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  1. Light Detection and Ranging (LiDAR) Survey of a Sky Island Forest Jimmy Mack Thanks to Tyson Swetnam, M.S. School of Natural Resources, University of Arizona Stephen Yool, Ph.D Department of Geography and Regional Development, University of Arizona Arizona Space Grant Consortium Statewide Symposium April 18, 2009

  2. Perspective and Significance • Uncertainty regarding quantity and distribution of forest biomass (above ground carbon stores). • LiDAR is becoming more available, shown to be highly accurate at quantifying forest structure (Anderson et al. 2005, Reutebuch et al. 2005). • Unprecedented accuracy (typical R2 > 0.90) (McGaughey et al. 2006), becoming more cost effective (<$0.50/acre).

  3. Objectives

  4. LiDAR data covering 31,857 hectares of forest land Original purchase by Pima County Flood control Santa Catalinas “Sky Island” Aspen (2003) and Bullock Fires (2002)

  5. Data and Methods Converted Log ASCII Standard (LAS) files to X,Y,Z format using Fusion Digital Terrain Models Canopy Height Models

  6. Results and Discussion

  7. Results and Discussion continued

  8. Results and Discussion continued Vegetation and Surface Model Surface Elevation Subtracted from Vegetation Elimination of Surface Returns (0.7m and below)

  9. Results and Discussion continued Calculation of Both Plot and Individual Tree Metrics (i.e. Canopy Diameter and Tree Height)

  10. Ongoing Work • Summer field work to validate/reference LiDAR measurements • Stratification of vegetation by type, estimate biomass in kg/m2 • Inclusion of Pinaleño Mountains and other southwestern “sky islands”

  11. References • Andersen, H.-E., S.E. Reutebuch, and R.J. McGaughey. 2006. Chapter 3: Active remote sensing. In Computer Applications in Sustainable Forest Management, Edited by G. Shao and K. Reynolds. Springer-Verlag, Dordrecht. • Andersen, H.-E., R.J. McGaughey, and S.E. Reutebuch. 2005. Estimating forest canopy fuel parameters using LIDAR data. Remote Sensing of Environment 94(4):441-449. • McGaughey, R.J., H.-E. Andersen, and S.E. Reutebuch. 2006. Considerations for planning, acquiring, and processing LIDAR data for forestry applications. In Proceedings of the eleventh Biennial USDA Forest Service Remote Sensing Applications Conference, Salt Lake City, ID, April 24-28, 2006. American Society of Photogrammetry and Remote Sensing, Bethesda, MD. • McGaughey, R.J., W.W. Carson, S.E. Reutebuch, and H.-E. Andersen. 2004. Direct measurement of individual tree characteristics from LIDAR data. Proceedings of the Annual ASPRS Conference, Denver, May 23-28, 2004. American Society of Photogrammetry and Remote Sensing, Bethesda, MD. • Popescu, S.C., R.H. Wynne, and R.F. Nelson. 2003. Measuring individual tree crown diameter with lidar and assessing its influence on estimating forest volume and biomass. Canadian Journal of Remote Sensing 29(5):564-577. • Reutebuch, S.E., H.-E. Andersen, and R.J. McGaughey. 2005. Light detection and ranging (LIDAR): An emerging tool for multiple resource inventory. Journal of Forestry 103(6): 286-292.

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